Stealth Startup | Automatic Program Repair AI / Software Engineering / ML Systems
We are a
stealth startup
working on
Automatic Program Repair
and AI systems for automated code analysis and correction.
We are looking for a
Python Developer
with a strong focus on
performance ,
code quality, and
building real products, not just prototypes.
This is a highly technical and cross-functional role: you will work both on
optimizing Machine Learning code
and on
building complete applications (backend + frontend) .
What you will do (key responsibilities)
Machine Learning & Performance Optimize Python code inside
Machine Learning pipelines
(training, inference, preprocessing). Improve
performance, memory usage, and latency
of ML models (profiling, refactoring, parallelization). Work on models that analyze
source code, graphs, tokens, and embeddings. Contribute to the design of
scalable and maintainable ML architectures .
Backend Development Develop
Python backends
for AI-driven applications. Design and implement
APIs (REST / async)
for ML services. Integrate ML models into production systems. Manage data pipelines, async jobs, queues, and scheduled tasks.
Frontend & Product Build
frontend interfaces
to visualize results, insights, and ML workflows. Integrate frontend and backend into complete applications. Work closely with product and research to turn ideas and research into real products.
Additional useful activities Write clean, testable, and well-structured code. Contribute to architectural decisions (not just execute tasks). Improve internal tools, development pipelines, and debugging workflows. Collaborate on complex systems related to
code analysis and program understanding .
Requirements
Must have Strong knowledge of
Python. Experience optimizing
Python code, especially in ML contexts. Experience with
Machine Learning
(training, inference, model management). Ability to build
application backends
(APIs, services, ML integration). Solid understanding of data structures, algorithms, and performance.
Nice to have Experience with ML frameworks (PyTorch, TensorFlow, JAX, or similar). Knowledge of
profiling and optimization
(memory, CPU, GPU). Frontend experience (React, Next.js, or similar). Familiarity with Docker, Linux environments, CI/CD. Interest in
program analysis, static analysis and code intelligence.
What we offer Work on a
deeply technical and challenging problem. Small, highly technical team with minimal bureaucracy. Real impact on architectural and technical decisions. Competitive compensation. Flexible working setup.